Driving Business Results with Big Data

Informazione importanti

If you would like to enroll for this course, there are no formal prerequisites or limitations. The course is free and open for everyone. Just register for an account on openSAP and go for the course!

Informazione importanti

Sedi

Dove e quando

Inizio

Luogo

Da definire

Online

Cosa impari in questo corso?

Management

SAP

Marketing

Driving

Global

Project

IT Management

Programma

Course Summary

Big Data is an extraordinary knowledge revolution that is sweeping almost invisibly through business, academia, government, healthcare, and everyday life. It already enables us to provide a healthier life for our children, ensure safety and independence for older people, conserve precious resources like water and energy, and peer into our own individual genetic makeup.

The term â€œBig Dataâ€ describes the accumulation and analysis of vast amounts of information. But Big Data is much more than big data. Itâ€™s also the ability to extract meaning: to sort through masses of numbers and find the hidden patterns, unexpected correlations, and surprising connections.

One of the biggest impacts of Big Data is in business. Companies that adopt â€œdata-driven decision makingâ€ enjoy significantly greater productivity than those that do not.

In this course, youâ€™ll learn from real life use cases what it takes to extract that value from Big Data, and which solutions are available to acquire, store, analyze, and act on Big Data. We will also introduce SAP Rapid Deployment solutions, which help businesses adopt Big Data solutions and related technology. We will demonstrate how all this is done in a live system and provide course participants with access to the system to perform the steps themselves.

During the first week of the course we will talk about the value behind Big Data. We will look at real use cases where enterprises managed to drive success based on information hidden in Big Data. We will also feature segments of the documentary about â€œThe Human Face of Big Dataâ€, a global media project focusing on the new ability to collect, analyze, triangulate, and visualize vast amounts of data in real time.

In the second week we take a deep dive into SAPâ€™s Big Data solutions. Youâ€™ll learn which technologies are used to collect, integrate, and store Big Data. We also cover a range of applications and analytical tools we have at our disposal to extract the hidden secrets from massive amounts of data and drive business success.

The last three weeks are dedicated to SAP Rapid Deployment solutions, which help customers to quickly adopt key innovations in SAP Big Data solutions and technologies. Youâ€™ll learn how best practices, proven methodologies, and pre-configured content make adopting innovations simple and predictable. You will see how the SAP Big Data rapid-deployment solutions lower the complexity of implementation projects, and hence project risks, while accelerating time to value.

Course Characteristics

Starting from: June 23, 2015, 09:00 UTC. (What does this mean?)

Duration: 5 weeks (4 - 6 hours per week)

Final exam: July 28 â€“ August 4, 2015

Course language: English

How is an openSAP course structured?

Course Content

Week 1: Introduction to Big Data

Week 2: Big Data Solutions

Week 3: Big Data Intelligence

Week 4: Predictive Analytics on Big Data

Week 5: Marketing with Big Data

Week 6: Final Exam

Target Audience

Application and technical consultants/staff

Pre-sales, sales, project management, and delivery management staff

SAP partners, customers, and internal employees

Anyone involved in or interested in Big Data

Course Requirements

Basic SAP skills

Training Systems

If your primary interest in taking this course is to get an overview of Big Data, you do not need access to a training system. However, we realize that many of you will be interested in completing the hands-on exercises based on the instructions in the course. We will provide therefore the necessary instructions and installation procedures in the respective units.